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	Fast intrusion detection based on a non-negative matrix factorization model
	Guan, Xiaohong ; Wang, Wei ; Zhang, Xiangliang
	2010-10-12 ; 2010-10-12
关键词	Computer security Intrusion detection system Anomaly detection Non-negative matrix factorization AUDIT DATA MASQUERADES Computer Science, Hardware & Architecture Computer Science, Interdisciplinary Applications Computer Science, Software Engineering
中文摘要	In this paper, we present an efficient fast anomaly intrusion detection model incorporating a large amount of data from various data sources. A novel method based on non-negative matrix factorization (NMF) is presented to profile program and user behaviors of a computer system. A large amount of high-dimensional data is collected in our experiments and divided into smaller data blocks by a specific scheme. The system call data is divided into blocks by processes, while command data is divided into consecutive blocks with a fixed length. The frequencies of individual elements in each block of data are computed and placed column by column as data vectors to construct a matrix representation. NMF is employed to reduce the high-dimensional data vectors and anomaly detection can be realized as a very simple classifier in low dimensions. Experimental results show that the model presented in this paper is promising in terms of detection accuracy, computation efficiency and implementation for fast intrusion detection. (C) 2008 Elsevier Ltd. All rights reserved.
语种	英语 ; 英语
出版者	ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD ; LONDON ; 24-28 OVAL RD, LONDON NW1 7DX, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82157]
专题	清华大学
推荐引用方式 GB/T 7714	Guan, Xiaohong,Wang, Wei,Zhang, Xiangliang. Fast intrusion detection based on a non-negative matrix factorization model[J],2010, 2010.
APA	Guan, Xiaohong,Wang, Wei,&Zhang, Xiangliang.(2010).Fast intrusion detection based on a non-negative matrix factorization model..
MLA	Guan, Xiaohong,et al."Fast intrusion detection based on a non-negative matrix factorization model".(2010).

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